The present disclosure relates to methods and associated systems for managing a plurality of device-exchange stations. The method includes, for example, (1) determining a score for each of the plurality of device-exchange stations based on an availability of energy storage devices positioned in each of the device-exchange stations; (2) determining a sequence of the plurality of device-exchange stations based on the score of each of the device-exchange stations; and (3) determining a price rate for each of the device-exchange stations by mapping the sequence of the device-exchange stations to a characteristic curve corresponding to a distribution of the price rate.
Legal claims defining the scope of protection, as filed with the USPTO.
1. A method for managing a plurality of device-exchange stations, the method comprising: determining a score for each of the plurality of device-exchange stations based on an availability of energy storage devices positioned in each of the device-exchange stations; determining a sequence of the plurality of device-exchange stations based on the score of each of the device-exchange stations; determining a price rate for each of the device-exchange stations by mapping the sequence of the device-exchange stations to a characteristic curve corresponding to a distribution of the price rate; and displaying the price rate on a user interface.
2. The method of claim 1 , wherein the characteristic curve is determined based on an expectation value and a range of the price rate, and wherein the expectation value and the range of the price rate are determined based on a user input.
3. The method of claim 1 , wherein the characteristic curve is determined based on a normal distribution curve.
4. The method of claim 1 , wherein the score is derived from an available energy-storage-device count.
5. The method of claim 4 , further comprising determining the available energy-storage-device count based on a difference between a predicted device demand and a predicted device supply.
6. The method of claim 1 , further comprising adjusting the price rate of at least two device-exchange stations of the device-exchange stations that are adjacent to each other by averaging the price rates of the at least two device-exchange stations of the device-exchange stations.
7. The method of claim 1 , wherein: at least two first device-exchange stations of the device-exchange stations are located in a first administrative district; at least two second device-exchange stations of the device-exchange stations are located in a second administrative district; the method further comprises: generating a first adjusted price rate for each of the first device-exchange stations based on a first sub-characteristic curve; and generating a second adjusted price rate for each of the second device-exchange stations based on a second sub-characteristic curve.
8. The method of claim 7 , wherein a first average of the first adjusted rates for the first device-exchange stations is generally the same as a second average of the second adjusted rates for the second device-exchange stations.
9. The method of claim 1 , further comprising: dividing the device-exchange stations into at least two sets of device-exchange stations based on adjacency of the device-exchange stations; creating a sub-sequence for the device-exchange stations in each of the at least two sets; and adjusting the price rate for each of the device-exchange stations in each of the at least two sets by mapping the sub-sequence to a sub-characteristic curve.
10. The method of claim 1 , further comprising adjusting a sell-back price rate of at least one device-exchange station of the device-exchange stations based on the price rate of the at least one device-exchange station so as to provide an incentive to a user to sell back a charged battery.
11. The method of claim 1 , further comprising: dividing the plurality of device-exchange stations into first and second clusters; and adjusting the characteristic curve to form a first characteristic curve for the first cluster and to form a second characteristic curve for the second cluster.
12. A system for managing a plurality of device-exchange stations, the system comprising: a processor configured to— determine a score for each of the plurality of device-exchange stations based on an availability of energy storage devices positioned in each of the device-exchange stations; determine a sequence of the plurality of device-exchange stations based on the score of each of the device-exchange stations; and determine a price rate for each of the device-exchange stations by mapping the sequence of the device-exchange stations to a characteristic curve corresponding to a distribution of the price rate, wherein the price rate is to be displayed on a user interface.
13. The system of claim 12 , wherein the characteristic curve is determined based on an expectation value and a range of the price rate, and wherein the expectation value and the range of the price rate are determined based on a user input.
14. The system of claim 12 , wherein the score is derived from an available energy-storage-device count, and wherein the processor is configured to determine the available energy-storage-device count based on a difference between a predicted device demand and a predicted device supply.
15. A method for balancing available energy among multiple battery-exchange stations, the method comprising: receiving battery demand information from multiple sampling battery exchange stations; generating a characteristic function based on the received battery demand information, wherein the characteristic function is determined based on an energy ratio and a battery price rate, wherein the energy ratio is determined based on a battery energy level associated with a battery exchange event and an available battery count associated with the battery exchange event, and wherein the battery price rate is determined based on a characteristic curve corresponding to a distribution of price rates; determining a battery price for each of the multiple battery-exchange stations based on the characteristic function; and displaying the price rate on a user interface.
16. The method of claim 15 , further comprising generating a notice to motivate a user to exchange a battery based on the determined battery price.
17. The method of claim 15 , further comprising: dividing the battery demand information into multiple clusters based on battery demand time interval, a battery station type, and a battery exchange number of the cluster.
18. The method of claim 17 , further comprising: generating the characteristic function for each of the clusters.
19. The method of claim 18 , further comprising: determining the battery price for each cluster based on the characteristic function.
20. The method of claim 19 , wherein the characteristic function is generated based on a generic algorithm (GA), and wherein the multiple clusters are determined based on a K-means clustering algorithm.
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December 28, 2018
February 23, 2021
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